High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics.

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

In a lot of our programs, we run only one additional thing at a time and wait for it to complete; this is usually referred to with the more generic term "asynchronous programming." Parallel ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems Written by James Reinders, ContributorSept. 10 ...

I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...

Support for parallel programming in .NET was introduced in .NET Framework 4. Parallel programming in .NET allows us to use system resources more efficiently and with better programmatic control.

Parallel programming seems like a worthy approach, but most of our current computer-science people use languages such as C/C++, Ada, Java, and others to program sequential flows rather than multi-path ...

27-Oct-2014 HIGHLIGHTS This guide shows the evolution of parallel programming in C# and explains how to use the new Async paradigm, introduced in C# version 5.0 to develop multi-threaded applications ...

But it's difficult to program parallel systems. Boston-based Interactive Supercomputing Inc. says its Star-P software overcomes this difficulty.